Duncan Kelly is Professor of Politics at the University of Cambridge, affiliated with the Department of Politics and International Studies (POLIS). He is also a Fellow and Director of Studies in Human, Social, and Political Sciences (Part IIB and Harvard) at Jesus College, currently on leave for 2024-2025 academic year. Education: BA Hons, Glasgow Caledonian University MA, University of York PhD, University of Sheffield His research focuses on intellectual history and political theory, particularly examining the evolution of political and economic ideas from the mid-19th century to the early 20th century. Current projects include studies on the intellectual history of the First World War, global histories of political thought since 1848, and the intersection of political judgment, theory, and the Anthropocene. Professor Kelly has taught at Cambridge since 2007, where he was promoted to full professorship in 2018. He combines his academic role with broader interests in book collecting, music, art, squash, languages, and travel.
Brian Scholl is a Professor of Psychology at Yale University, specializing in visual cognition, perception, and cognitive science. His research explores how visual perception interacts with higher-level cognition, including object persistence, event perception, causality, and intuitive physics. He leads the Yale Perception & Cognition Lab, focusing on dynamic events, attention, and computational models. He earned his Ph.D. from Rutgers University in 1999. His work spans experimental psychology, neuroscience, and computational modeling, with a focus on phenomena like inattentional blindness, scaffolded attention, and event segmentation. He has authored numerous papers and presented at international conferences, contributing to debates on perception vs. cognition interactions. Key research areas include the perception of dynamic event types, the role of intuitive physics in visual processing, and the influence of event boundaries on memory and decision-making. His lab employs computer-based experiments and collaborations with computational models to study perception across species and clinical populations.
Prof. Dr. Mirko Kremer is a Professor of Supply Chain Management at the Frankfurt School of Finance & Management since July 2014. Prior to this, he was an Assistant Professor at Pennsylvania State University (2008-2014) and held visiting roles at London Business School, Kellogg School of Management, and INSEAD. He earned a Ph.D. in Business Administration from the University of Mannheim (2008), with prior studies in Business Administration at Mannheim (1999-2003) and Economics at Ruhr-Universität Bochum (1997-1999). Research Focus: Micro-behavioral foundations of supply chains, inventory management, sales forecasting, and service systems. Editorial Roles: Department Editor for Production and Operations Management , Associate Editor for Operations Research . Teaching: Courses in Operations Management, Supply Chain Strategy, and quantitative decision modeling at Frankfurt School, INSEAD, London Business School, and Kellogg School of Management. Research Trends: His work bridges behavioral economics with supply chain operations, emphasizing how human decision-making (e.g., managerial biases, consumer behavior) impacts inventory systems, pricing strategies, and forecasting accuracy. Recent articles focus on diagnostic errors under congestion, strategic sourcing biases, and dynamic pricing experiments.
Benjamin Lange is a Research Professor and Junior Research Group Leader in the Ethics of AI and Machine Learning at Ludwig Maximilians University of Munich (LMU) and the Munich Center for Machine Learning (MCML). He is also an Associate Research Fellow at the Oxford Uehiro Institute for Practical Ethics and a member of LMU's Zentrum für Ethik und Philosophie in der Praxis (ZEPP). His research bridges foundational ethical theory with practical challenges in technology, business, and organizational ethics. Lange holds a BSc from the London School of Economics, and a B.Phil and D.Phil from the University of Oxford. He previously held visiting positions at Google’s Responsible Innovation team and the University of Hamburg. His research focuses on ethical frameworks for AI, digital ethics, and corporate responsibility. Key themes include the ethics of human-AI collaboration, moral partiality in relationships, and organizational ethics. He has advised the European Commission on AI governance and developed assurance audit methodologies for algorithmic systems, including work for NYC’s AI Bias Law. His consulting practice focuses on helping organizations build ethical cultures through capabilities like moral imagination and compliance frameworks. Lange’s work has been featured in media such as CBS News, Business Insider, and ZDF heute journal. He is completing a book on the ethics of interpersonal relationships and partiality, aiming to connect philosophical insights with practical applications. His recent publications explore moral imagination in engineering teams, bias mitigation in AI systems, and the ethical implications of digital duplication technologies. He advises Fortune 500 companies, startups, and public institutions across sectors including finance, technology, and education. His approach emphasizes aligning ethical practices with organizational growth and social impact through tailored ethical frameworks and stakeholder engagement strategies.
Ignacio Ojea Quintana serves as Assistant Professor at Ludwig Maximilian University of Munich's Faculty of Philosophy, Philosophy of Science and Religious Studies within the Chair of Philosophy of Science. He joined LMU in 2022 after a three-year research fellowship at the Australian National University's School of Philosophy. His academic foundation includes a PhD in Philosophy from Columbia University (2019), supervised by Philip Kitcher with focus on formal social epistemology, and prior Masters/BA degrees in Philosophical Logic from the University of Buenos Aires where he collaborated with the Buenos Aires Logic Group. Ojea Quintana's research employs formal methodologies to examine digital technologies' impact on knowledge organization across scientific and public spheres. His work intersects Social Epistemology , Philosophy of Data Science , and Autonomous Systems Ethics , with significant contributions to social media network analysis of controversial movements. Current projects analyze Twitter dynamics in racial justice movements, ethical constraints in AI decision systems, and consensus formation in scientific modeling. His 2021-2022 publications reveal an interdisciplinary trajectory bridging philosophy, computer science, and social sciences. Key trends include computational analysis of online discourse, formal modeling of group rationality under uncertainty, and ethical frameworks for AI systems. Works appear in high-impact venues including Nature Humanities and Social Sciences Communications and the AAAI/ACM Conference on AI, Ethics, and Society. Ojea Quintana maintains active collaborations with the "Humanising Machine Intelligence" initiative (formerly at ANU) and the Buenos Aires Logic Group. His research program demonstrates sustained engagement with technology's societal implications through formal modeling approaches and empirical digital trace analysis.
Abigail Scholer is a Professor specializing in self-regulation and motivation. Her research explores how motivational orientations influence decision-making, self-control conflicts, and adaptive change. She holds a BA from Gettysburg College and a PhD from Columbia University. Her work bridges educational, social, and cognitive psychology, with a focus on understanding the mechanisms behind human triumphs and failures in facing life's demands. Key research themes include metamotivational processes, goal pursuit dynamics, and the interplay between motivation and emotional regulation. Her lab, the Self-Regulation and Motivation Lab , investigates practical applications of these theories in academic and organizational settings. Publications span topics like motivational affordance, risk preferences, and the impact of threat on stereotyping. While no awards are listed, her contributions to motivational science are reflected in high-impact journals such as Journal of Personality and Social Psychology and Psychological Science . No advising or grant details are provided, though her lab's activities suggest active research participation.
Raquel Fernández is Full Professor of Computational Linguistics and Dialogue Systems at the University of Amsterdam, where she leads the Dialogue Modelling Group at the Institute for Logic, Language & Computation (ILLC). As Vice-Director for Research at ILLC and a Fellow of the ELLIS Society, she bridges computational linguistics, cognitive science, and artificial intelligence through her research on language use in multimodal and conversational contexts. PhD in Computational Linguistics from King's College London Prior research positions at University of Potsdam and Stanford University's CSLI Her work explores how cognitive constraints, social interaction, and perception shape language use, with a focus on: Visually-grounded language processing Multimodal dialogue modeling Model uncertainty and calibration Language grounding in multimodal data Language learning and semantic change Dialogue reference resolution Recent publications analyze multimodal reasoning limitations, cross-lingual knowledge consistency, and uncertainty modeling in dialogue systems. She has received multiple accolades including an ERC Consolidator Grant , NWO VENI/VIDI/Aspasia fellowships , and EMNLP/GenBench awards . Outstanding Paper Award (EMNLP 2023) Best Data Award (GenBench Workshop 2023) ELLIS Society Fellow ERC Consolidator Grant #819455 recipient NWO VENI/VIDI/Aspasia awardee As a leader in academic service, she serves on the SIGDAT Executive Committee and chairs multiple conference committees. Her lab develops models for multimodal dialogue, visual storytelling, and grounded language understanding.
Arman Cohan is an Assistant Professor of Computer Science at Yale University, affiliated with the School of Engineering & Applied Science. His research focuses on the intersection of Machine Learning and Natural Language Processing (NLP), particularly in language modeling, representation learning, retrieval systems, and applications in specialized domains such as scientific text processing. He earned his Ph.D. in Computer Science from Georgetown University and has received notable awards, including the Dr. Harold N. Glassman Distinguished Doctoral Dissertation Award (2019) and the EMNLP 2017 Best Long Paper Award. His work emphasizes ethical AI, robustness of LLMs, and interdisciplinary applications in healthcare, science, and education. Cohan's research group, the Yale NLP Lab, develops advanced techniques for multi-document summarization, adversarial fact-checking, and LLM-driven tools for scientific discovery. Recent projects include frameworks like SciBERT, Longformer, and ChemAgent, which enhance domain-specific reasoning and safety in AI systems. His publications address challenges in table reasoning, uncertainty expression, and multimodal reasoning, with applications in medical decision-making and educational problem-solving. He collaborates on initiatives like the Roberts Innovation Fund to advance AI in healthcare and environmental technology.
Jan G. Voelkel is an Assistant Professor at the Jeb E. Brooks School of Public Policy and the Department of Sociology at Cornell University. His research explores how micro-level preferences for equality and unity translate into macro-level political decisions, focusing on democratic attitudes, partisan dynamics, and moral framing. Ph.D. and M.A. in Sociology, Stanford University M.S. in Social and Behavioral Sciences, Tilburg University B.S. in Social Sciences, University of Cologne Voelkel’s work spans political psychology, metascience, and social policy, with a focus on interventions to reduce anti-democratic attitudes, partisan animosity, and gender bias in political leadership. His recent articles emphasize large-scale collaborations, reproducibility, and cross-partisan empathy. Scientific awards include: New Investigator Award (Behavioral Science & Policy Association) Public Sociology Award (American Sociological Association) Open Science Innovator Award (Stanford) Centennial Teaching Assistant Award (Stanford)
Toby Jia-Jun Li is an Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame, where he leads the SaNDwich Lab. He also serves as the Director of the Human-Centered Responsible AI Lab in the Lucy Family Institute for Data & Society and is a Faculty Fellow at the Institute for Educational Initiatives (IEI). Previously, he was affiliated with Carnegie Mellon University's Human-Computer Interaction Institute (HCII) and GroupLens Research. Dr. Li's research spans the intersection of Human-Computer Interaction (HCI), End-User Software Engineering, Machine Learning (ML), and Natural Language Processing (NLP), with recent work focusing on addressing societal challenges in the future of work through human-AI collaborative approaches. His work has resulted in over 40 publications at premier venues including CHI, UIST, CSCW, ACL, and ICSE, with 8 papers winning Best Paper or Honorable Mention awards. His recent publications demonstrate a strong focus on human-AI collaboration across various domains, including code understanding, privacy, accessibility, and creative tools. The work shows a trajectory toward increasingly sophisticated integration of human-centered design with AI capabilities, particularly using large language models to enhance human productivity and address societal challenges. Google Research Scholar Award recipient Recipient of Yahoo! Fellowship ($100,000/year) Best Paper Award at UIST 2020 Best Paper Honorable Mention Award at CHI 2021 Best Paper Award at CSCW 2024 Best Paper Award at CHI 2025 Dr. Li actively mentors Ph.D. students and has established collaborations with Google, Microsoft Research, IBM Research, Adobe, Verizon, and J.P. Morgan. His research has been supported by NSF, Google Research Scholar Program, AnalytiXIN Initiative, Yahoo! InMind project, and J.P. Morgan. He is currently recruiting Ph.D. students and undergraduate researchers for his SaNDwich Lab, which focuses on developing interactive systems to empower individuals to create, configure, and extend AI-powered computing systems.
William S. Horton (Sid) is an Associate Professor in the Department of Psychology at Northwestern University , where he has taught since 2005 and directed the Cognition and Communication Lab (Cresap 108). Starting in September 2025, he will serve as Chair of the Department of Linguistics . His research focuses on socio-cognitive mechanisms in language use, particularly discourse pragmatics , perspective-taking , and non-literal language processing . Education: B.S. in Psychology/German from Duke University (1991), M.A. and Ph.D. in Cognitive Psychology from University of Chicago (1994/1999) Previous roles: Postdoctoral research at SUNY-Stony Brook, Cognitive Aging at Georgia Tech Research trends from his 20+ years of publications include common ground , memory processes , figurative language , and age-related communication changes . His work increasingly incorporates computational text analysis and real-time digital communication studies. Awards : Fellow, Society for Text and Discourse Students : Supervised Ph.D. theses on conversational alignment, common ground activation, and digital communication. Undergraduate honors projects explore inhibitory deficits, speech internalization, and perspective-taking in bilingualism. Cognition and Communication Lab investigates language processing in spoken/written contexts using experimental methods and computational models.
Arash Arami is an Associate Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, cross-appointed in Systems Design Engineering. He directs the Neuromechanics and Assistive Robotics Laboratory and maintains affiliations with Waterloo Robohub, the Centre for Bioengineering and Biotechnology, Waterloo AI institute, and KITE institute at Toronto Rehab Institute. He earned his Doctorate in Electrical Engineering from EPFL (2014), Master of Science from University of Tehran (2009), and Bachelor of Science from University of Tabriz (2006), all in Control Engineering. His research in Assistive Robotics and Rehabilitation Engineering integrates Machine Learning with Neuromechanics to develop intelligent systems for human movement analysis. Key focus areas include exoskeleton control algorithms, wearable sensor systems, and neural control modeling for rehabilitation applications. Recent publications demonstrate interdisciplinary work spanning robotics, biomedical engineering, and materials science, with emphasis on real-time human locomotion prediction, exoskeleton-human interaction, and data-driven health monitoring solutions. Dr. Arami serves as Chair of the NSERC Scholarship Committee (2021-2023) and mentors graduate students through the Mechatronics Exchange Study program. His teaching includes core courses in control systems, robot manipulators, and biomechanical engineering. The Neuromechanics and Assistive Robotics Laboratory fosters collaborations with clinical partners at Toronto Rehab Institute, focusing on translating robotic innovations into practical rehabilitation tools through interdisciplinary teamwork.
Ilker Yildirim is an Assistant Professor of Psychology at Yale University, where he leads the Cognitive and Neural Computation Lab (CNCL). He received his Ph.D. from the University of Rochester in 2014. His research focuses on understanding how perception transforms raw sensory signals into meaningful representations of objects and scenes through computational modeling approaches. His research interests include: Computational modeling of visual perception and cognition Intuitive physics and physical reasoning Bayesian inference and probabilistic models in cognition Integration of graphics and physics engines in cognitive modeling Neural mechanisms of object representation Attention and resource allocation in dynamic scenes Yildirim's lab develops computational frameworks that bridge cognitive processes with neural mechanisms, using tools including probabilistic models, simulation engines, and deep learning. His work often involves testing these models through behavioral and neural experiments to create unified accounts of perception and cognition. His recent publications reveal a strong focus on how humans perceive physical properties of objects, particularly soft materials and liquids, and how attention dynamically allocates resources during scene perception. Among his notable achievements is receiving an NSF CAREER award for his project "CAREER: CompCog: Reverse-engineering neural mechanisms of object cognition with multilevel computational modeling," which will run from 2025 to 2030. His Nature Human Behaviour paper by Qi Lin was featured on CBS News, Germany's NZZ, and Wired Italy. Yildirim mentors a diverse group of graduate students and postdocs working on various aspects of perception, cognition, and computational modeling. His students have received prestigious awards including the Jane Olejarczyk Award and the Leonard J. Savage Prize.
Mohammad Aliannejadi is an Assistant Professor at the IRLab (formerly ILPS) within the Informatics Institute at the University of Amsterdam. His research focuses on Information Retrieval (IR), machine learning, natural language processing (NLP), and conversational systems, particularly in modeling user information needs on mobile devices and conversational search systems. He holds a Ph.D. in Informatics from Università della Svizzera italiana (USI), Lugano, Switzerland, and a M.Sc. in Computer Engineering from Tehran Polytechnic. During his Ph.D., he visited the CIIR Lab at the University of Massachusetts Amherst, USA. His research interests include conversational search systems, recommender systems, unified search frameworks, and user-centric evaluation methodologies. Notable contributions include work on clarifying questions in open-domain dialogues, contextual suggestion systems, and cross-market recommendation. Aliannejadi has organized major shared tasks and workshops, including the IGLU Contest (NeurIPS 2021) and XMRec Workshop (RecSys 2021). He serves on program committees of top IR conferences like SIGIR, CIKM, and ECIR, and has authored over 50 peer-reviewed publications in these areas. His work has received recognition, including top performance in TREC Contextual Suggestion tracks (2015, 2016). He actively contributes to the IR community through teaching, including courses on Information Retrieval and Human-in-the-Loop Machine Learning at the University of Amsterdam.
Professor Peter Billings is a Professor at the School of Law, The University of Queensland, and a Fellow of the Higher Education Academy. His expertise spans Administrative Law, Immigration and Refugee Law, Social Welfare Law, and Human Rights Law. He has received numerous awards, including the Australian Award for University Teaching (2016) and the Vice Chancellor's Equity and Diversity Award (2011). His research focuses on crimmigration, refugee protection, and the corrosive effects of immigration detention laws. Professor Billings has published extensively on topics such as refugee law, preventive justice, and the intersection of criminal and immigration law. Education: Bachelor of Law and Doctor of Philosophy from the University of Southampton. Research Interests Immigration and Refugee Law Crimmigration (intersection of criminal and immigration law) Administrative Justice and Law Social Welfare Law Aboriginal and Torres Strait Islander Legal Issues Media Expertise Regular contributor to The Guardian and ABC Radio National, providing expert commentary on immigration detention, refugee policies, and human rights. Grants and Funding Building research capacity for quantitative analysis of Indigenous poverty (2011–2013) Critical evaluation of administrative rules (2011–2013) Aboriginal protection laws study (2008–2009) Supervision Currently supervising PhD projects on refugee employment integration, immigration detention governance, and international law on migrant smuggling. Key Contributions Authored Regulating Refugee Protection through Social Welfare (2023) and contributed to pivotal discussions on immigration detention's societal impacts. His work informs policy reforms and legal frameworks in Australia.
